tSynonymSearch Properties in Spark Batch Jobs - 6.3

Talend Components Reference Guide

Talend Big Data
Talend Big Data Platform
Talend Data Fabric
Talend Data Integration
Talend Data Management Platform
Talend Data Services Platform
Talend ESB
Talend MDM Platform
Talend Open Studio for Big Data
Talend Open Studio for Data Integration
Talend Open Studio for Data Quality
Talend Open Studio for ESB
Talend Open Studio for MDM
Talend Real-Time Big Data Platform
Data Governance
Data Quality and Preparation
Design and Development
Talend Studio

Component family

Data Quality


Basic settings

Schema and Edit schema

A schema is a row description. It defines the number of fields (columns) to be processed and passed on to the next component. The schema is either Built-In or stored remotely in the Repository.

Since version 5.6, both the Built-In mode and the Repository mode are available in any of the Talend solutions.

Default columns are provided in the schema of this component in order to present the matching details between the input data and the reference entries.

For further information about the default schema columns, see Default schema columns

Click Sync columns to retrieve the schema from the previous component connected in the Job.

Click Edit schema to make changes to the schema. If the current schema is of the Repository type, three options are available:

  • View schema: choose this option to view the schema only.

  • Change to built-in property: choose this option to change the schema to Built-in for local changes.

  • Update repository connection: choose this option to change the schema stored in the repository and decide whether to propagate the changes to all the Jobs upon completion. If you just want to propagate the changes to the current Job, you can select No upon completion and choose this schema metadata again in the [Repository Content] window.



Built-In: You create and store the schema locally for this component only. Related topic: see Talend Studio User Guide.



Repository: You have already created the schema and stored it in the Repository. You can reuse it in various projects and Job designs. Related topic: see Talend Studio User Guide.


Limit of each group

Type in a number to indicate the maximum display of the reference entries matched to each group of the input data. Each row of input data is recognized as one group by this component.

If the entries count exceeds the indicated limit, this component displays the ones scored the highest. For further information about the scores used on the matched entries, see Default schema columns.


Columns to search

Complete this table to provide parameters used to match the input data and the reference entries in a given index.

The columns to be completed are:

- Input column: select the column(s) of interest from the input data schema.

- Reference output column: select the column(s) from the output data schema to present the matched reference entries found in the given synonym index.

- Index path: enter, in quotation marks, the path to the index you need to search.

- Search mode: select the search mode you want to use to match input strings against index strings. For further information about available search modes, see Search modes for Index rules.

- Score threshold (available for all modes): set a numerical value above 0.0 by which you want to filter the results. Set the threshold to 0.0 to disable the filter.

The score value is returned by the Lucene engine and can be anything above 0. The higher the score is, the higher is the similarity of the match. Use the threshold to remove low scoring matches from the output results. There is no easy way to decide about a good threshold value. It will depend on the input data and the indexed data.

- Max edits (based on the Levenshtein algorithm and available for the Match all fuzzy and Match any fuzzy modes): select an edit distance,1 or 2, from the list. Any terms within the edit distance from the input data are matched. With a max edit distance 2, for example, you can have up to 2 insertions, deletions or substitutions

Fuzzy match gains much in performance with Max edits for fuzzy match.


Jobs migrated in the Studio from older releases run correctly, but results might be slightly different because Max edits for fuzzy match is now used in place of Minimum similarity for fuzzy match.

- Word distance (available for the Match partial mode): select from the list the maximum number of words allowed to come inside a sequence of words that may be found in the index, default value is 1.

- Limit: type in a number to indicate the maximum reference entries to be matched to each record of the corresponding input column you have selected.


Outgoing links (from this component to another):

Row: Main; Reject

Trigger: Run if; On Component Ok; On Component Error.

Incoming links (from one component to this one):

Row: Main; Reject

For further information regarding connections, see Talend Studio User Guide.

Global Variables

ERROR_MESSAGE: the error message generated by the component when an error occurs. This is an After variable and it returns a string. This variable functions only if the Die on error check box is cleared, if the component has this check box.

A Flow variable functions during the execution of a component while an After variable functions after the execution of the component.

To fill up a field or expression with a variable, press Ctrl + Space to access the variable list and choose the variable to use from it.

For further information about variables, see Talend Studio User Guide.

Usage in Spark Batch Jobs

This component is used as an intermediate step.

This component, along with the Spark Batch component Palette it belongs to, appears only when you are creating a Spark Batch Job.

Note that in this documentation, unless otherwise explicitly stated, a scenario presents only Standard Jobs, that is to say traditional Talend data integration Jobs.


If you are using a subscription-based version of the Studio, the activity of this component can be logged using the log4j feature. For more information on this feature, see Talend Studio User Guide.

For more information on the log4j logging levels, see the Apache documentation at http://logging.apache.org/log4j/1.2/apidocs/org/apache/log4j/Level.html.

Spark Connection

You need to use the Spark Configuration tab in the Run view to define the connection to a given Spark cluster for the whole Job. In addition, since the Job expects its dependent jar files for execution, one and only one file system related component from the Storage family is required in the same Job so that Spark can use this component to connect to the file system to which the jar files dependent on the Job are transferred:

This connection is effective on a per-Job basis.